ZooData Skills

SerendipityOneInc77stars

ZooData Skills - AI Agent skills for e-commerce data intelligence across Amazon, TikTok & beyond, plus open-web extraction

E Commerce Social Media

Install Run on PlugMCP

GitHub Website

Run on PlugMCP

1# ZooData Skills

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-10-27

Stars: 77
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install ZooData Skills?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does ZooData Skills need an API key?

No required environment variable is listed on this record.

What transport does ZooData Skills use?

ZooData Skills runs locally over stdio.

When was ZooData Skills last checked?

Last checked 2026-10-27. ZooData Skills - AI Agent skills for e-commerce data intelligence across Amazon, TikTok & beyond, plus open-web extraction

From the publisher

Documentation

What is ZooData?

ZooData is the data infrastructure built for agents. Not a scraping API. Not a human dashboard. A purpose-built data layer that gives your AI agents direct access to Amazon commerce signals — 200M+ indexed products, 2+ years of history, and 1B+ reviews pre-processed into structured insights. Clean JSON, real-time, agent-ready.

https://github.com/user-attachments/assets/305a161b-7a53-49b8-afdc-4469a4fbf361

SPU market contracts require the matching service deployment and updated installed skills; see market migration.

Skills Overview

This repo contains 10 agent skills organized in two tiers:

🏗️ Foundation — data access and full-spectrum analysis:

Skill	What It Does	Input	Output	Key Advantage
📦 `zoodata/`	Direct access to 36 Amazon commerce and keyword-intelligence endpoints	Keyword, category, ASIN, or brand	Raw API data with field mapping and quirk documentation	Complete API reference — every other skill builds on this
🎯 `amazon-analysis/`	13 built-in selection modes + market research, competitor analysis, ASIN evaluation, pricing, category research	Keyword/category/ASIN + intent	Analysis findings, top products, ASIN deep dives, confidence-tagged insights	Composite commands (`report`, `opportunity`) run multi-endpoint pipelines in one shot
🔎 `amazon-keyword-traffic-analysis/`	Keyword value and product traffic-health workflows built on 11 keyword intelligence endpoints	Seed keyword, target keyword, ASIN, or ASIN + keyword	Expansion tiers, keyword-value analysis, product traffic structure, trends, and health diagnosis	Dedicated flows for keyword expansion, keyword analysis, and product traffic analysis
📊 `amazon-market-analysis/`	Discover market and product candidates, evaluate entry conditions, and track category changes	Market question, category, or product opportunity brief	Observed shortlist, conditional entry assessment, or bounded trend analysis	One connected story with separate evidence and seller-decision boundaries

⚡ Specialized — purpose-built for specific workflows:

Skill	What It Does	Input	Output	Key Advantage
⚔️ `amazon-competitor-intelligence-monitor/`	Deep competitor intelligence — Full Scan or Quick Check with tiered alerts	Keyword or ASIN(s), optionally your ASIN + competitor ASINs	Competitor matrix, brand ranking, price map, 30-day trends, scores (1-100), tiered alerts	Dual-mode (Full ~28-35 credits, Quick ~5-10) with three-tier alert system
📡 `amazon-daily-market-radar/`	Automated daily monitoring — price changes, new competitors, BSR movements, review spikes	Your ASINs (1-10) + keyword	RED/YELLOW/GREEN alerts, KPI dashboard, competitor movement, action items	Set-and-forget with signal validation (7+ day trends vs single-day spikes)
✅ `amazon-listing-audit-pro/`	8-dimension listing health check with optimization recommendations	Your ASIN + keyword	Score (X/100, A-F), 8-dimension scorecard, keyword gaps, priority fix list	Actionable rewrites using high-frequency review language; bulk audit support
💰 `amazon-pricing-command-center/`	Data-driven pricing signals — auto-detects leaf category, analyzes pricing landscape	One or more ASINs	RAISE/HOLD/LOWER signal, price band heatmap, competitor price map, BuyBox analysis	ASIN-only input (no keyword needed), Sales/Competition Ratio
💬 `amazon-review-intelligence-extractor/`	Deep consumer insights from 1B+ pre-analyzed reviews across 11 dimensions	Single ASIN, multiple ASINs, or category keyword	Pain points, buying factors, user profiles, usage patterns, differentiation roadmap	1B+ pre-analyzed reviews (95% token savings), 11 dimensions
🌐 `web-extract/`	Structured data extraction from public web pages and search results	URL, search query, or site	Structured JSON or page content	Handles rendered pages and bounded site crawls

amazon-market-analysis is the unified market skill. The former amazon-market-entry-analyzer, amazon-market-trend-scanner, and amazon-opportunity-discoverer directories are retained as retired source only; their entrypoints are named RETIRED.md, so skill installers and publishers do not discover them.

Quick Start

1. Install the Skills

npx skills add SerendipityOneInc/ZooData-Skills

You'll be prompted to select which skills to install:

🏗️ Foundation:

ZooData — 36 Amazon Commerce and Keyword Intelligence Endpoints
Amazon Analysis — Full-Spectrum Research & Seller Intelligence
Amazon Keyword Intelligence — Expansion, Reverse ASIN & Monitoring
Amazon Market Analysis — Discovery, Entry & Change

⚡ Specialized:

Amazon Competitor Intelligence Monitor — Dual-mode competitive intelligence with tiered alerts
Amazon Daily Market Radar — Automated Monitoring & Alerts
Amazon Listing Audit Pro — 8-Dimension Health Check
Amazon Pricing Command Center — RAISE/HOLD/LOWER Signals
Amazon Review Intelligence Extractor — Consumer Insights from 1B+ Reviews
Web Extract — Structured public web data extraction

Or clone manually:

git clone https://github.com/SerendipityOneInc/ZooData-Skills.git

2. Set Your API Key

export ZOODATA_API_KEY='hms_live_xxx'   # Get yours free at zoodata.ai/en/api-keys

🎁 Free tier: 1,000 credits on signup. 1 credit = 1 API call. No credit card required.

3. Try It

Ask your AI agent:

"Analyze the competitive landscape for wireless earbuds under $50 on Amazon US"

Or use the CLI directly:

python amazon-analysis/scripts/zoodata.py products --keyword "wireless earbuds" --mode fast-movers

API Endpoints

Base URL: https://api.zoodata.ai/openapi/v2 Auth: Authorization: Bearer $ZOODATA_API_KEY Method: All endpoints use POST with JSON body

Endpoint	Description	Example Use Case
🔍 `products/search`	Product search with 20+ filters (13 preset modes via the CLI)	"Find running shoes under $80 with 4+ stars"
📊 `markets/search`	Category discovery and exact snapshot — size, concentration, selected Top 100 pricing	"How competitive is the yoga mat market?"
🧩 `markets/profile`	SPU profile and independent distribution/concentration routes	"Which price bands account for sales?"
📅 `markets/history`	Published SPU category-market trends	"How has this category changed by month?"
🏷️ `products/competitors`	Competitor discovery by keyword, brand, or ASIN	"Who are the top sellers in this niche?"
⚡ `realtime/product`	Real-time product details — reviews, features, variants	"Get current details for ASIN B0D5CRV4KL"
💬 `reviews/analysis`	AI-powered review insights — sentiment, pain points	"What do customers love/hate about this product?"
📁 `categories`	Amazon category tree navigation	"Show subcategories under Electronics"
📈 `products/price-band-overview`	Price band summary with best opportunity band	"What's the best price range for yoga mats?"
📊 `products/price-band-detail`	Full 5-band price distribution analysis	"Show detailed price band breakdown for wireless earbuds"
🏢 `products/brand-overview`	Top-brand concentration metrics (CR10)	"How concentrated is the brand landscape?"
🏷️ `products/brand-detail`	Per-brand breakdown with top products	"Which brands dominate this category?"
📅 `products/history`	Historical daily snapshots for ASINs	"Show price and BSR history for this ASIN"

13 Product Search Modes

The skill CLI (zoodata.py --mode) provides 13 preset modes for different research strategies. Modes are expanded into concrete filter fields (monthlySalesMin, salesGrowthRateMin, …) on the client side — mode is not an API parameter, and sending it to /openapi/v2/products/search returns 422:

Mode	Strategy	Target
`fast-movers`	High sales velocity	Quick revenue
`emerging`	Rising trends, low saturation	Early movers
`long-tail`	Niche keywords, steady demand	Sustainable income
`underserved`	High demand, few sellers	Market gaps
`new-release`	Recently launched products	Trending items
`fbm-friendly`	Suitable for merchant fulfillment	Low-investment start
`low-price`	Budget-friendly products	Volume strategy
`single-variant`	Simple listings, no variants	Easy management
`high-demand-low-barrier`	High sales, low review barrier	Scalable entry
`broad-catalog`	Wide product range analysis	Category overview
`selective-catalog`	Curated high-quality picks	Premium selection
`speculative`	High-risk, high-reward opportunities	Aggressive strategy
`top-bsr`	Best Seller Rank leaders	Market leaders

Project Structure

├── zoodata/                              # Data layer skill (lightweight)
│   ├── SKILL.md                            # 36 Amazon and keyword endpoints, quick start
│   └── references/
│       └── openapi-reference.md            # API field reference
│
├── amazon-analysis/                      # Deep analysis skill
│   ├── SKILL.md                            # Intent routing, workflows, evaluation criteria
│   ├── references/
│   │   ├── reference.md                    # Full API reference
│   │   ├── execution-guide.md              # Step-by-step execution playbook
│   │   ├── scenarios-composite.md          # Comprehensive recommendations
│   │   ├── scenarios-eval.md               # Product evaluation, risk, reviews
│   │   ├── scenarios-pricing.md            # Pricing strategy
│   │   ├── scenarios-ops.md                # Market monitoring, alerts
│   │   ├── scenarios-expand.md             # Expansion, trends
│   │   └── scenarios-listing.md            # Listing writing, optimization
│   └── scripts/
│       └── zoodata.py                      # CLI — 8 subcommands, 13 preset modes
│
├── amazon-keyword-traffic-analysis/      # Keyword intelligence & traffic analysis
│   ├── SKILL.md
│   ├── README.md
│   └── references/
│       ├── reference.md                    # Keyword endpoint reference
│       ├── execution-guide.md              # Execution and monitoring rules
│       ├── scenarios-expand.md             # Keyword expansion
│       ├── scenarios-keyword-analysis.md   # Keyword value and trend analysis
│       └── scenarios-product-traffic-analysis.md # Product traffic health analysis
│
├── amazon-competitor-intelligence-monitor/  # Competitor intelligence & monitoring
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-daily-market-radar/            # Daily market pulse & anomaly detection
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-listing-audit-pro/             # Listing quality audit & optimization
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-market-analysis/               # Market discovery, entry assessment & change
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-pricing-command-center/        # Pricing strategy & competitive signals
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-review-intelligence-extractor/    # Review intelligence & insight extraction
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── web-extract/                          # Structured public web extraction
│   ├── SKILL.md
│   └── scripts/
│       └── webtools.py
│
├── scoring-methodology.md                # Unified quality scoring framework
├── CHANGELOG.md
└── README.md

Requirements

Python 3.8+ (stdlib only, zero pip dependencies)
ZooData API Key (get one free)

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Community

💬 Discord — Chat, get help, share what you're building
🐛 Issues — Bug reports and feature requests
📖 API Docs — Full API documentation

License

MIT © SerendipityOne Inc.

ZooData Skills

SerendipityOneInc77stars

ZooData Skills - AI Agent skills for e-commerce data intelligence across Amazon, TikTok & beyond, plus open-web extraction

E Commerce Social Media

Install Run on PlugMCP

GitHub Website

Run on PlugMCP

1# ZooData Skills

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-10-27

Stars: 77
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install ZooData Skills?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does ZooData Skills need an API key?

No required environment variable is listed on this record.

What transport does ZooData Skills use?

ZooData Skills runs locally over stdio.

When was ZooData Skills last checked?

Last checked 2026-10-27. ZooData Skills - AI Agent skills for e-commerce data intelligence across Amazon, TikTok & beyond, plus open-web extraction

From the publisher

Documentation

What is ZooData?

https://github.com/user-attachments/assets/305a161b-7a53-49b8-afdc-4469a4fbf361

SPU market contracts require the matching service deployment and updated installed skills; see market migration.

Skills Overview

This repo contains 10 agent skills organized in two tiers:

🏗️ Foundation — data access and full-spectrum analysis:

Skill	What It Does	Input	Output	Key Advantage
📦 `zoodata/`	Direct access to 36 Amazon commerce and keyword-intelligence endpoints	Keyword, category, ASIN, or brand	Raw API data with field mapping and quirk documentation	Complete API reference — every other skill builds on this
🎯 `amazon-analysis/`	13 built-in selection modes + market research, competitor analysis, ASIN evaluation, pricing, category research	Keyword/category/ASIN + intent	Analysis findings, top products, ASIN deep dives, confidence-tagged insights	Composite commands (`report`, `opportunity`) run multi-endpoint pipelines in one shot
🔎 `amazon-keyword-traffic-analysis/`	Keyword value and product traffic-health workflows built on 11 keyword intelligence endpoints	Seed keyword, target keyword, ASIN, or ASIN + keyword	Expansion tiers, keyword-value analysis, product traffic structure, trends, and health diagnosis	Dedicated flows for keyword expansion, keyword analysis, and product traffic analysis
📊 `amazon-market-analysis/`	Discover market and product candidates, evaluate entry conditions, and track category changes	Market question, category, or product opportunity brief	Observed shortlist, conditional entry assessment, or bounded trend analysis	One connected story with separate evidence and seller-decision boundaries

⚡ Specialized — purpose-built for specific workflows:

Skill	What It Does	Input	Output	Key Advantage
⚔️ `amazon-competitor-intelligence-monitor/`	Deep competitor intelligence — Full Scan or Quick Check with tiered alerts	Keyword or ASIN(s), optionally your ASIN + competitor ASINs	Competitor matrix, brand ranking, price map, 30-day trends, scores (1-100), tiered alerts	Dual-mode (Full ~28-35 credits, Quick ~5-10) with three-tier alert system
📡 `amazon-daily-market-radar/`	Automated daily monitoring — price changes, new competitors, BSR movements, review spikes	Your ASINs (1-10) + keyword	RED/YELLOW/GREEN alerts, KPI dashboard, competitor movement, action items	Set-and-forget with signal validation (7+ day trends vs single-day spikes)
✅ `amazon-listing-audit-pro/`	8-dimension listing health check with optimization recommendations	Your ASIN + keyword	Score (X/100, A-F), 8-dimension scorecard, keyword gaps, priority fix list	Actionable rewrites using high-frequency review language; bulk audit support
💰 `amazon-pricing-command-center/`	Data-driven pricing signals — auto-detects leaf category, analyzes pricing landscape	One or more ASINs	RAISE/HOLD/LOWER signal, price band heatmap, competitor price map, BuyBox analysis	ASIN-only input (no keyword needed), Sales/Competition Ratio
💬 `amazon-review-intelligence-extractor/`	Deep consumer insights from 1B+ pre-analyzed reviews across 11 dimensions	Single ASIN, multiple ASINs, or category keyword	Pain points, buying factors, user profiles, usage patterns, differentiation roadmap	1B+ pre-analyzed reviews (95% token savings), 11 dimensions
🌐 `web-extract/`	Structured data extraction from public web pages and search results	URL, search query, or site	Structured JSON or page content	Handles rendered pages and bounded site crawls

Quick Start

1. Install the Skills

npx skills add SerendipityOneInc/ZooData-Skills

You'll be prompted to select which skills to install:

🏗️ Foundation:

ZooData — 36 Amazon Commerce and Keyword Intelligence Endpoints
Amazon Analysis — Full-Spectrum Research & Seller Intelligence
Amazon Keyword Intelligence — Expansion, Reverse ASIN & Monitoring
Amazon Market Analysis — Discovery, Entry & Change

⚡ Specialized:

Amazon Competitor Intelligence Monitor — Dual-mode competitive intelligence with tiered alerts
Amazon Daily Market Radar — Automated Monitoring & Alerts
Amazon Listing Audit Pro — 8-Dimension Health Check
Amazon Pricing Command Center — RAISE/HOLD/LOWER Signals
Amazon Review Intelligence Extractor — Consumer Insights from 1B+ Reviews
Web Extract — Structured public web data extraction

Or clone manually:

git clone https://github.com/SerendipityOneInc/ZooData-Skills.git

2. Set Your API Key

export ZOODATA_API_KEY='hms_live_xxx'   # Get yours free at zoodata.ai/en/api-keys

🎁 Free tier: 1,000 credits on signup. 1 credit = 1 API call. No credit card required.

3. Try It

Ask your AI agent:

"Analyze the competitive landscape for wireless earbuds under $50 on Amazon US"

Or use the CLI directly:

python amazon-analysis/scripts/zoodata.py products --keyword "wireless earbuds" --mode fast-movers

API Endpoints

Base URL: https://api.zoodata.ai/openapi/v2 Auth: Authorization: Bearer $ZOODATA_API_KEY Method: All endpoints use POST with JSON body

Endpoint	Description	Example Use Case
🔍 `products/search`	Product search with 20+ filters (13 preset modes via the CLI)	"Find running shoes under $80 with 4+ stars"
📊 `markets/search`	Category discovery and exact snapshot — size, concentration, selected Top 100 pricing	"How competitive is the yoga mat market?"
🧩 `markets/profile`	SPU profile and independent distribution/concentration routes	"Which price bands account for sales?"
📅 `markets/history`	Published SPU category-market trends	"How has this category changed by month?"
🏷️ `products/competitors`	Competitor discovery by keyword, brand, or ASIN	"Who are the top sellers in this niche?"
⚡ `realtime/product`	Real-time product details — reviews, features, variants	"Get current details for ASIN B0D5CRV4KL"
💬 `reviews/analysis`	AI-powered review insights — sentiment, pain points	"What do customers love/hate about this product?"
📁 `categories`	Amazon category tree navigation	"Show subcategories under Electronics"
📈 `products/price-band-overview`	Price band summary with best opportunity band	"What's the best price range for yoga mats?"
📊 `products/price-band-detail`	Full 5-band price distribution analysis	"Show detailed price band breakdown for wireless earbuds"
🏢 `products/brand-overview`	Top-brand concentration metrics (CR10)	"How concentrated is the brand landscape?"
🏷️ `products/brand-detail`	Per-brand breakdown with top products	"Which brands dominate this category?"
📅 `products/history`	Historical daily snapshots for ASINs	"Show price and BSR history for this ASIN"

13 Product Search Modes

Mode	Strategy	Target
`fast-movers`	High sales velocity	Quick revenue
`emerging`	Rising trends, low saturation	Early movers
`long-tail`	Niche keywords, steady demand	Sustainable income
`underserved`	High demand, few sellers	Market gaps
`new-release`	Recently launched products	Trending items
`fbm-friendly`	Suitable for merchant fulfillment	Low-investment start
`low-price`	Budget-friendly products	Volume strategy
`single-variant`	Simple listings, no variants	Easy management
`high-demand-low-barrier`	High sales, low review barrier	Scalable entry
`broad-catalog`	Wide product range analysis	Category overview
`selective-catalog`	Curated high-quality picks	Premium selection
`speculative`	High-risk, high-reward opportunities	Aggressive strategy
`top-bsr`	Best Seller Rank leaders	Market leaders

Project Structure

├── zoodata/                              # Data layer skill (lightweight)
│   ├── SKILL.md                            # 36 Amazon and keyword endpoints, quick start
│   └── references/
│       └── openapi-reference.md            # API field reference
│
├── amazon-analysis/                      # Deep analysis skill
│   ├── SKILL.md                            # Intent routing, workflows, evaluation criteria
│   ├── references/
│   │   ├── reference.md                    # Full API reference
│   │   ├── execution-guide.md              # Step-by-step execution playbook
│   │   ├── scenarios-composite.md          # Comprehensive recommendations
│   │   ├── scenarios-eval.md               # Product evaluation, risk, reviews
│   │   ├── scenarios-pricing.md            # Pricing strategy
│   │   ├── scenarios-ops.md                # Market monitoring, alerts
│   │   ├── scenarios-expand.md             # Expansion, trends
│   │   └── scenarios-listing.md            # Listing writing, optimization
│   └── scripts/
│       └── zoodata.py                      # CLI — 8 subcommands, 13 preset modes
│
├── amazon-keyword-traffic-analysis/      # Keyword intelligence & traffic analysis
│   ├── SKILL.md
│   ├── README.md
│   └── references/
│       ├── reference.md                    # Keyword endpoint reference
│       ├── execution-guide.md              # Execution and monitoring rules
│       ├── scenarios-expand.md             # Keyword expansion
│       ├── scenarios-keyword-analysis.md   # Keyword value and trend analysis
│       └── scenarios-product-traffic-analysis.md # Product traffic health analysis
│
├── amazon-competitor-intelligence-monitor/  # Competitor intelligence & monitoring
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-daily-market-radar/            # Daily market pulse & anomaly detection
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-listing-audit-pro/             # Listing quality audit & optimization
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-market-analysis/               # Market discovery, entry assessment & change
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-pricing-command-center/        # Pricing strategy & competitive signals
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-review-intelligence-extractor/    # Review intelligence & insight extraction
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── web-extract/                          # Structured public web extraction
│   ├── SKILL.md
│   └── scripts/
│       └── webtools.py
│
├── scoring-methodology.md                # Unified quality scoring framework
├── CHANGELOG.md
└── README.md

Requirements

Python 3.8+ (stdlib only, zero pip dependencies)
ZooData API Key (get one free)

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Community

💬 Discord — Chat, get help, share what you're building
🐛 Issues — Bug reports and feature requests
📖 API Docs — Full API documentation